GenAI Usage Behavior Scale

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

A 15-item, five-point Likert self-report scale developed by Song Yafeng et al. for measuring higher vocational students' generative-AI usage frequency, habits, and contexts.

Components

• GenAI Usage Behavior Scale for higher vocational students: A 15-item, 5-point Likert subjective scale measuring GenAI usage behavior in three dimensions: usage frequency, usage habits, and usage contexts, with dimensional scores computed as item means. It was developed from TAM, UTAUT and AI literacy frameworks, piloted with 329 valid responses, and refined after item C1 was removed for cross-loading; the final EFA retained three factors explaining "64.782% of the total common variance". The article reports an overall Cronbach's α of 0.930, with sub-dimension α values all higher than 0.87. (Song Yafeng et al. (2026))

Claims

• GenAI usage behavior dimensions correlate positively with perceived learning outcomes (r = 0.106–0.418), with usage habits showing the strongest correlation [+W]
• Chinese higher vocational students report medium-high GenAI usage (M = 3.75) with usage habits highest, and above-average perceived learning outcomes (M = 4.01) with competency development ranked highest [+W]

Related Products and Programmes

• 44-item ethical GenAI use questionnaire
• AI Use Scale (AIUS)
• Higher Vocational Students' Perceived Learning Outcomes Scale
• Generative AI Student Feedback Literacy Scale (GenAI-SFLS)

Key Sources

• Song Yafeng, Zhao Kangjian, Li Li, Dong Wei. (2026). Research on the Impact of Generative Artificial Intelligence Usage Behavior on the Learning Outcomes of Higher Vocational Students. Behavioral Sciences. https://doi.org/10.3390/bs16071166

Page metadata

Field	Value
type	product
id	genai-usage-behavior-scale
title	GenAI Usage Behavior Scale
description	A 15-item, five-point Likert self-report scale developed by Song Yafeng et al.
status	review
product_kind	assessment
generated	by process:settle-candidates on 2026-10-12
trust	unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.